[R] Logistic regression for large data

[George Brida]

Dear R users,

I have a database  called Base.csv   (attached to this email) which
contains 13 columns and 8257 rows and whose the first 8 columns are dummy
variables which take 1 or 0. The problem is when I wrote the following
instructions to do a logistic regression , R runs for hours and hours
without giving an output:

Base=read.csv("C:\\Users\\HP\\Desktop\\New\\Base.csv",header=FALSE,sep=";")
fit_1=glm(Base[,2]~Base[,1]+Base[,10]+Base[,11]+Base[,12]+Base[,13],family=binomial(link="logit"))

Apparently, there is not enough memory to have the requested output. Is
there any other function for logistic regression that handle large data and
return output in reasonable time.

Many thanks

Kind regards

George